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Spurious correlation #5,361 · View random

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Popularity of the first name Killian and the second variable is Votes for the Libertarian Presidential candidate in Iowa.  The chart goes from 1982 to 2020, and the two variables track closely in value over that time. Small Image
Download png
, svg

AI explanation

Folks assumed there was a direct correlation between having a name that sounds like a kick-butt action hero and supporting a political party that's all about individual freedom and taking charge of their own destiny. Plus, every time someone yelled, "Go, Killian!" at a playground or in a coffee shop, it inadvertently rallied support for the Libertarian candidate, because, let's face it, who wouldn't want a leader with a name that sounds like they could single-handedly defeat a horde of robotic overlords?

Model: dalle-3
Prompt: Certainly! Here's a refined image generation prompt: [Prompt: A scene from Skyrim] Generate an image capturing a bustling playground in an Iowa town, with joyful children running and laughing. In the center, a young boy named Killian exudes energetic charisma, catching everyone's attention with his daring moves. The onlookers cheer, unintentionally boosting the atmosphere of support for the Libertarian Presidential candidate. The very name "Killian" resonates through the playground, evoking images of courageous leadership and reinforcing the association with the Libertarian party's ideals of personal empowerment and independence. Capture the sense of positivity and dynamism in the scene, with a subtle nod to the Libertarian party's values. The depiction should include only scenes, people, and objects, it should not include text or speech bubbles.
This image generation prompt was also generated by AI, using the following sequence:

Model: gpt-3.5-turbo-1106
System prompt: You select one of a few potential scene descriptors that seems to go along with the variables described. You respond only with the scene descriptions provided and say nothing else.
User prompt: Here are two variables: Popularity of the first name Killian and Votes for the Libertarian Presidential candidate in Iowa. Given these, which of the following image style descriptions seems most appropriate? Pick the one that seems to be related to one of the variables at hand. Please respond with only one of the following potential descriptions: Photorealism A scene from Skyrim Cyber folk A scene from Skyrim Cubism
ChatGPT: A scene from Skyrim

Model: gpt-3.5-turbo-1106
System prompt: You describe simple visual scenes that depict the two variables stated. You combine both variables into one scene.
User prompt: Please describe a visual scene that prominently depicts both Popularity of the first name Killian and Votes for the Libertarian Presidential candidate in Iowa, in the following situation: Folks assumed there was a direct correlation between having a name that sounds like a kick-butt action hero and supporting a political party that's all about individual freedom and taking charge of their own destiny. Plus, every time someone yelled, "Go, Killian!" at a playground or in a coffee shop, it inadvertently rallied support for the Libertarian candidate, because, let's face it, who wouldn't want a leader with a name that sounds like they could single-handedly defeat a horde of robotic overlords?. Keep the description simple.
ChatGPT: In an Iowa town, a bustling playground is filled with children running and laughing. Among them, a young boy named Killian catches everyone's attention with his energetic presence. As he runs around, people cheer on his daring moves, inadvertently boosting the sense of support for the Libertarian Presidential candidate. The name "Killian" echoes through the playground, conjuring images of courageous leadership and bolstering the association with the Libertarian party's ideals of personal empowerment and independence.

Model: gpt-3.5-turbo-1106
System prompt: You write and improve image generation prompts for DALLE-3. You maintain the same subjects, but enhance the visuals.
User prompt: Please respond with an image generation prompt that would be likely to create an interesting visual using DALLE-3, using the following style: [ A scene from Skyrim ] and depicting this scene: In an Iowa town, a bustling playground is filled with children running and laughing. Among them, a young boy named Killian catches everyone's attention with his energetic presence. As he runs around, people cheer on his daring moves, inadvertently boosting the sense of support for the Libertarian Presidential candidate. The name "Killian" echoes through the playground, conjuring images of courageous leadership and bolstering the association with the Libertarian party's ideals of personal empowerment and independence. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Certainly! Here's a refined image generation prompt: [Prompt: A scene from Skyrim] Generate an image capturing a bustling playground in an Iowa town, with joyful children running and laughing. In the center, a young boy named Killian exudes energetic charisma, catching everyone's attention with his daring moves. The onlookers cheer, unintentionally boosting the atmosphere of support for the Libertarian Presidential candidate. The very name "Killian" resonates through the playground, evoking images of courageous leadership and reinforcing the association with the Libertarian party's ideals of personal empowerment and independence. Capture the sense of positivity and dynamism in the scene, with a subtle nod to the Libertarian party's values.

*Variations in the User Prompts from chart to chart are just the result of random number generation in Python. I wrote a few arrays of various styles and methods to ask questions to change up the results. Every time this site writes an explanation or generates an image, the script picks from each at random.

I sequence the requests into multiple prompts because I find GPT 3.5 to perform much better with short, well-managed contexts. Thus, I track the context directly in Python and only ask ChatGPT targeted questions.

Model: gpt-3.5-turbo-1106 (fine-tuned)
System prompt: You provide humorous responses in the form of plausible sounding explanations for correlations. You assume the correlation is causative for the purpose of the explanation even if it is ridiculous. You do not chat with the user, you only reply with the causal connection explanation and nothing else.
User prompt: Please make up a funny explanation for how an increase in Popularity of the first name Killian caused Votes for the Libertarian Presidential candidate in Iowa to increase. Make it feel plausible.

AI academic paper

(Because p < 0.01)
From Killian to Candidate: A Name's Libertarian Leanings

The Journal of Sociolinguistic Naming Studies

Jan 2024

Reminder: This paper is AI-generated. Not real!
Quick note: This sequence is long and repetitive. That's how the prompt engineering works for this one. I manage the output in Python to format it into this PDF.




Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics journal.You write titles and abstracts of goofy academic research papers.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, and add unexpected twists in your writing.

Please draft the title and abstract of an academic research paper presenting the findings of the connection between Popularity of the first name Killian and Votes for the Libertarian Presidential candidate in Iowa. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

Include a pun in the title.

Your research team used data from US Social Security Administration and MIT Election Data and Science Lab, Harvard Dataverse to assess this nagging question. You found a correlation coefficient of 0.9373010 and p < 0.01 for 1982 to 2020.

Please respond in this format (replace "Lorem ipsum dolor sit" with your title and abstract)

[[TITLE]]
Lorem ipsum dolor sit

[[ABSTRACT]]
Lorem ipsum dolor sit



ChatGPT:
[[TITLE]]
"From Killian to Candidate: A Name's Libertarian Leanings"

[[ABSTRACT]]
This study examines the intriguing connection between the popularity of the first name Killian and the votes cast for the Libertarian presidential candidate in the state of Iowa. Drawing on data from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse from the years 1982 to 2020, our research team calculated a correlation coefficient of 0.9373010, with a p-value of less than 0.01. This sparks a lively debate on whether a name can unwittingly influence one's political preferences, or if it's simply a curious coincidence. Our findings offer a compelling glimpse into the whimsical world of voter behavior and the peculiar power of nomenclature in political decision-making.


Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics journal.You draft the introduction section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up the introduction section of an academic research paper presenting the findings of the connection between Popularity of the first name Killian and Votes for the Libertarian Presidential candidate in Iowa. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Here is the title and abstract of the paper:
[[TITLE]]
"From Killian to Candidate: A Name's Libertarian Leanings"

[[ABSTRACT]]
This study examines the intriguing connection between the popularity of the first name Killian and the votes cast for the Libertarian presidential candidate in the state of Iowa. Drawing on data from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse from the years 1982 to 2020, our research team calculated a correlation coefficient of 0.9373010, with a p-value of less than 0.01. This sparks a lively debate on whether a name can unwittingly influence one's political preferences, or if it's simply a curious coincidence. Our findings offer a compelling glimpse into the whimsical world of voter behavior and the peculiar power of nomenclature in political decision-making.

-------

Your response should start like this:

[[INTRODUCTION]]



ChatGPT:
[[INTRODUCTION]]

The influence of one's name on their behavior and decision-making processes has long been a topic of interest in psychological and sociological research. From the classic "Bob and Rob" study to the examination of the impact of names on job prospects, the peculiar power of nomenclature has always been a source of fascination. In the realm of politics, little attention has been given to the potential influence of names on voting preferences. This study delves into the unexpected correlation between the popularity of the first name Killian and the votes for the Libertarian presidential candidate in the state of Iowa, offering a lighthearted yet intriguing glimpse into the whimsical world of voter behavior.

The purpose of this paper is to present the findings of our investigation into the connection between the name Killian and political leanings towards the Libertarian candidate. Our research team has painstakingly gathered and analyzed data from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse, spanning nearly four decades. The highly significant correlation coefficient of 0.9373010 that we have uncovered prompts us to ponder whether there may be more than meets the eye when it comes to the influence of names on political decision-making.

One cannot help but wonder if there is an underlying libertarian streak that coincidentally manifests in individuals bearing the name Killian, or if this correlation is just a quirky fluke of statistics. Our investigation aims to shed light on this phenomenon and spark engaging discussions about the potential impact of nomenclature on voter behavior. In doing so, we contribute to the ongoing dialogue surrounding the intersection of quirkiness and statistical significance in the field of political science research.

This paper is organized as follows: the next section provides a review of relevant literature, highlighting the lack of previous research on this unique topic. Subsequently, we detail our methodological approach, outlining the meticulous steps taken to ensure the rigor and validity of our findings. Finally, we present our results and discuss their implications, highlighting the unexpected yet thought-provoking nature of the relationship between one's name and their political inclinations.


Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics journal.You draft a literature review section of an academic research paper, that starts out dry for the first few sentences but then becomes hilarious and goofy.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up a literature review section of an academic research paper presenting the findings of the connection between Popularity of the first name Killian and Votes for the Libertarian Presidential candidate in Iowa. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns.

Speak in the present tense for this section (the authors find...), as is common in academic research paper literature reviews. Name the sources in a format similar to this: In "Book," the authors find lorem and ipsum.

Make up the lorem and ipsum part, but make it sound related to the topic at hand.

Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Then cite some social media posts you read that seem to be related.

Here is the title and abstract of the paper:
[[TITLE]]
"From Killian to Candidate: A Name's Libertarian Leanings"

[[ABSTRACT]]
This study examines the intriguing connection between the popularity of the first name Killian and the votes cast for the Libertarian presidential candidate in the state of Iowa. Drawing on data from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse from the years 1982 to 2020, our research team calculated a correlation coefficient of 0.9373010, with a p-value of less than 0.01. This sparks a lively debate on whether a name can unwittingly influence one's political preferences, or if it's simply a curious coincidence. Our findings offer a compelling glimpse into the whimsical world of voter behavior and the peculiar power of nomenclature in political decision-making.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The influence of one's name on their behavior and decision-making processes has long been a topic of interest in psychological and sociological research. From the classic "Bob and Rob" study to the examination of the impact of names on job prospects, the peculiar power of nomenclature has always been a source of fascination. In the realm of politics, little attention has been given to the potential influence of names on voting preferences. This study delves into the unexpected correlation between the popularity of the first name Killian and the votes for the Libertarian presidential candidate in the state of Iowa, offering a lighthearted yet intriguing glimpse into the whimsical world of voter behavior.
The purpose of this paper is to present the findings of our investigation into the connection between the name Killian and political leanings towards the Libertarian candidate. Our research team has painstakingly gathered and analyzed data from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse, spanning nearly four decades. The highly significant correlation coefficient of 0.9373010 that we have uncovered prompts us to ponder whether there may be more than meets the eye when it comes to the influence of names on political decision-making.
One cannot help but wonder if there is an underlying libertarian streak that coincidentally manifests in individuals bearing the name Killian, or if this correlation is just a quirky fluke of statistics. Our investigation aims to shed light on this phenomenon and spark engaging discussions about the potential impact of nomenclature on voter behavior. In doing so, we contribute to the ongoing dialogue surrounding the intersection of quirkiness and statistical significance in the field of political science research.
This paper is organized as follows: the next section provides a review of relevant literature, highlighting the lack of previous research on this unique topic. Subsequently, we detail our methodological approach, outlining the meticulous steps taken to ensure the rigor and validity of our findings. Finally, we present our results and discuss their implications, highlighting the unexpected yet thought-provoking nature of the relationship between one's name and their political inclinations.

-------

Your response should start like this:

[[LITERATURE REVIEW]]



ChatGPT:
[[LITERATURE REVIEW]]

Limited attention has been devoted to investigating the potential influence of names on voting behaviors within the realm of political science. The correlation between nomenclature and political preferences remains an underexplored area of study, with few existing scholarly works directly addressing this curious association. Smith et al. (2010) conducted a comprehensive meta-analysis of voter behavior but regrettably did not delve into the intriguing influence of specific names on political leanings. Similarly, Doe and Jones (2015) examined the role of demographics in shaping voting decisions but did not extend their analysis to encompass the potential impact of individual names on electoral choices.

Turning to the wider literature on names and their impact, "Freakonomics" by Levitt and Dubner (2005) offers insightful discussions on the unconventional influences shaping human behaviors, albeit without specific emphasis on political decision-making. In a similar vein, "Nudge" by Thaler and Sunstein (2008) provides a compelling exploration of factors that guide decision-making processes but omits a dedicated examination of the influence of names on political affiliations.

Expanding beyond traditional research sources, a quick perusal of fictional works yields the intriguing novel "The Name of the Wind" by Patrick Rothfuss, which, although unrelated to political voting preferences, offers a captivating narrative on the enigmatic power of names. In a parallel realm, the dystopian classic "Brave New World" by Aldous Huxley envisions a society where individuals are assigned names based on societal hierarchies, prompting tangential contemplations on the potential political implications of designated nomenclature.

In a departure from traditional academic sources, a cursory glance at social media platforms reveals anecdotal accounts of individuals opining on the possible connection between names and political inclinations. A Twitter user with the handle @PoliticObserver muses, "Does a name shape a person's political views? Food for thought! #NameInfluence." Despite lacking empirical rigor, such online musings underscore the pervasive curiosity surrounding the influence of names on political orientations.

Subsequently, the current study endeavors to fill the aforementioned gap in the literature, scrutinizing the noteworthy connection between the prevalence of the first name Killian and voting patterns favoring the Libertarian presidential candidate in Iowa. Our investigation presents a lighthearted yet thought-provoking insight into the interplay of nomenclature and political proclivities, contributing to a burgeoning area of study that seamlessly melds quirkiness with statistical significance.


Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics journal.You draft the methodology section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up the methodology section of an academic research paper presenting the findings of the connection between Popularity of the first name Killian and Votes for the Libertarian Presidential candidate in Iowa. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Your research team collected data from all across the internet, but mostly just used information from US Social Security Administration and MIT Election Data and Science Lab, Harvard Dataverse . You used data from 1982 to 2020

Make up the research methods you don't know. Make them a bit goofy and convoluted.

Here is the title, abstract, and introduction of the paper:
[[TITLE]]
"From Killian to Candidate: A Name's Libertarian Leanings"

[[ABSTRACT]]
This study examines the intriguing connection between the popularity of the first name Killian and the votes cast for the Libertarian presidential candidate in the state of Iowa. Drawing on data from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse from the years 1982 to 2020, our research team calculated a correlation coefficient of 0.9373010, with a p-value of less than 0.01. This sparks a lively debate on whether a name can unwittingly influence one's political preferences, or if it's simply a curious coincidence. Our findings offer a compelling glimpse into the whimsical world of voter behavior and the peculiar power of nomenclature in political decision-making.

[[INTRODUCTION]]
The influence of one's name on their behavior and decision-making processes has long been a topic of interest in psychological and sociological research. From the classic "Bob and Rob" study to the examination of the impact of names on job prospects, the peculiar power of nomenclature has always been a source of fascination. In the realm of politics, little attention has been given to the potential influence of names on voting preferences. This study delves into the unexpected correlation between the popularity of the first name Killian and the votes for the Libertarian presidential candidate in the state of Iowa, offering a lighthearted yet intriguing glimpse into the whimsical world of voter behavior.
The purpose of this paper is to present the findings of our investigation into the connection between the name Killian and political leanings towards the Libertarian candidate. Our research team has painstakingly gathered and analyzed data from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse, spanning nearly four decades. The highly significant correlation coefficient of 0.9373010 that we have uncovered prompts us to ponder whether there may be more than meets the eye when it comes to the influence of names on political decision-making.
One cannot help but wonder if there is an underlying libertarian streak that coincidentally manifests in individuals bearing the name Killian, or if this correlation is just a quirky fluke of statistics. Our investigation aims to shed light on this phenomenon and spark engaging discussions about the potential impact of nomenclature on voter behavior. In doing so, we contribute to the ongoing dialogue surrounding the intersection of quirkiness and statistical significance in the field of political science research.
This paper is organized as follows: the next section provides a review of relevant literature, highlighting the lack of previous research on this unique topic. Subsequently, we detail our methodological approach, outlining the meticulous steps taken to ensure the rigor and validity of our findings. Finally, we present our results and discuss their implications, highlighting the unexpected yet thought-provoking nature of the relationship between one's name and their political inclinations.

-------

Your response should start like this:

[[METHODOLOGY]]



ChatGPT:

[[METHODOLOGY]]

Data Collection:
The data utilized in this study were sourced from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse. The primary source of data for first names was the US Social Security Administration, which provided comprehensive records of the frequency of first names given to newborns from 1982 to 2020. The MIT Election Data and Science Lab, Harvard Dataverse, furnished the data on votes for the Libertarian presidential candidate in Iowa during the same time period.

Variable Selection:
The first and foremost variable of interest in this investigation was the frequency of the first name Killian. This variable was chosen due to its unique phonetic quality and its intriguing connection to the concept of "killing it" in political discourse. Additionally, the frequency of votes for the Libertarian presidential candidate in Iowa was designated as the second variable, reflecting the political leanings of the state's electorate.

Statistical Analysis:
To quantify the relationship between the popularity of the first name Killian and votes for the Libertarian presidential candidate in Iowa, our research team employed a series of statistical analyses. The correlation coefficient and p-value were calculated using robust statistical methods to ensure the accuracy and reliability of the results.

Correlation Coefficient Calculation:
The correlation coefficient, a measure of the strength and direction of the linear relationship between two variables, was determined to be 0.9373010. This remarkably high coefficient suggests a strikingly strong positive association between the popularity of the name Killian and votes for the Libertarian presidential candidate in Iowa. The magnitude of this coefficient prompted expressions of astonishment and raised eyebrows amongst our research team, serving as a testament to the unexpected nature of our findings.

P-Value Significance:
Furthermore, the p-value associated with the correlation coefficient was found to be less than 0.01, indicating an extremely high level of statistical significance. This result elicited murmurs of admiration from our team, who marveled at the fortuitousness of uncovering such a noteworthy relationship between a name and political proclivity.

Limitations:
It is important to acknowledge the limitations of our methodology, as no research endeavor is without its constraints. While the data from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse, provided a robust foundation for our analysis, the specific nuances of individual decision-making processes remain beyond the scope of this study. Additionally, the focus on a single state, Iowa, may restrict the generalizability of our findings to a broader national context.

In summary, our methodology encompassed the comprehensive collection of data from reputable sources, the careful selection of pertinent variables, and rigorous statistical analyses. The surprising correlation coefficient and p-value outcomes serve as a testament to the intriguing nature of our investigation and the whimsical world of voter behavior.


Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics journal.You draft the results section of an academic research paper. You speak in the past tense (you found...).
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up the results section of an academic research paper presenting the findings of the connection between Popularity of the first name Killian and Votes for the Libertarian Presidential candidate in Iowa. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Your research team collected data from all across the internet, but mostly just used information from US Social Security Administration and MIT Election Data and Science Lab, Harvard Dataverse .

For the time period 1982 to 2020, you found a correlation 0.9373010, r-squared of 0.8785333, and p < 0.01.

One figure will be included. The figure (Fig. 1) is a scatterplot showing the strong correlation between the two variables. You don't need to specify where; I will add the figure.

Here is the title and abstract of the paper:
[[TITLE]]
"From Killian to Candidate: A Name's Libertarian Leanings"

[[ABSTRACT]]
This study examines the intriguing connection between the popularity of the first name Killian and the votes cast for the Libertarian presidential candidate in the state of Iowa. Drawing on data from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse from the years 1982 to 2020, our research team calculated a correlation coefficient of 0.9373010, with a p-value of less than 0.01. This sparks a lively debate on whether a name can unwittingly influence one's political preferences, or if it's simply a curious coincidence. Our findings offer a compelling glimpse into the whimsical world of voter behavior and the peculiar power of nomenclature in political decision-making.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
The influence of one's name on their behavior and decision-making processes has long been a topic of interest in psychological and sociological research. From the classic "Bob and Rob" study to the examination of the impact of names on job prospects, the peculiar power of nomenclature has always been a source of fascination. In the realm of politics, little attention has been given to the potential influence of names on voting preferences. This study delves into the unexpected correlation between the popularity of the first name Killian and the votes for the Libertarian presidential candidate in the state of Iowa, offering a lighthearted yet intriguing glimpse into the whimsical world of voter behavior.
The purpose of this paper is to present the findings of our investigation into the connection between the name Killian and political leanings towards the Libertarian candidate. Our research team has painstakingly gathered and analyzed data from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse, spanning nearly four decades. The highly significant correlation coefficient of 0.9373010 that we have uncovered prompts us to ponder whether there may be more than meets the eye when it comes to the influence of names on political decision-making.
One cannot help but wonder if there is an underlying libertarian streak that coincidentally manifests in individuals bearing the name Killian, or if this correlation is just a quirky fluke of statistics. Our investigation aims to shed light on this phenomenon and spark engaging discussions about the potential impact of nomenclature on voter behavior. In doing so, we contribute to the ongoing dialogue surrounding the intersection of quirkiness and statistical significance in the field of political science research.
This paper is organized as follows: the next section provides a review of relevant literature, highlighting the lack of previous research on this unique topic. Subsequently, we detail our methodological approach, outlining the meticulous steps taken to ensure the rigor and validity of our findings. Finally, we present our results and discuss their implications, highlighting the unexpected yet thought-provoking nature of the relationship between one's name and their political inclinations.

-------

Your response should start like this:

[[RESULTS]]



ChatGPT:

[[RESULTS]]

The primary objective of this study was to investigate the potential connection between the popularity of the first name Killian and the votes for the Libertarian presidential candidate in the state of Iowa. Our analysis revealed a remarkably strong correlation coefficient of 0.9373010, indicating a robust association between these two variables. This finding raises some eyebrows and sparks an animated conversation about the curious influence of nomenclature on political preferences.

The r-squared value of 0.8785333 suggests that approximately 87.85% of the variation in votes for the Libertarian candidate in Iowa can be explained by the popularity of the name Killian. This substantial proportion of variation further accentuates the intriguing nature of our results.

Moreover, with a p-value of less than 0.01, our research team has established a high level of statistical significance, indicating that the observed correlation is unlikely to have occurred purely by chance. This prompts us to ponder whether there may be an underlying libertarian streak that coincidentally manifests in individuals bearing the name Killian, or if this correlation is simply a delightful quirk of fate.

To visually illustrate this compelling association, we have included a scatterplot (Fig. 1) that portrays the striking correlation between the popularity of the first name Killian and the votes for the Libertarian presidential candidate in Iowa. The figure provides a succinct yet powerful depiction of the relationship between these variables and serves as a conversation piece for the thought-provoking findings of our study.


Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics journal.You draft the discussion section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up the discussion section of an academic research paper presenting the findings of the connection between Popularity of the first name Killian and Votes for the Libertarian Presidential candidate in Iowa. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Limit your response to 500 tokens.

Here are the title, abstract, literature review, and results sections. Please harken back to 1-2 of the goofy items in the literature review, but pretend to take them completely seriously. Discuss how your results supported the prior research.

Do not write a conclusion. I will add a conclusion after this.

[[TITLE]]
"From Killian to Candidate: A Name's Libertarian Leanings"

[[ABSTRACT]]
This study examines the intriguing connection between the popularity of the first name Killian and the votes cast for the Libertarian presidential candidate in the state of Iowa. Drawing on data from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse from the years 1982 to 2020, our research team calculated a correlation coefficient of 0.9373010, with a p-value of less than 0.01. This sparks a lively debate on whether a name can unwittingly influence one's political preferences, or if it's simply a curious coincidence. Our findings offer a compelling glimpse into the whimsical world of voter behavior and the peculiar power of nomenclature in political decision-making.

[[LITERATURE REVIEW]]
Limited attention has been devoted to investigating the potential influence of names on voting behaviors within the realm of political science. The correlation between nomenclature and political preferences remains an underexplored area of study, with few existing scholarly works directly addressing this curious association. Smith et al. (2010) conducted a comprehensive meta-analysis of voter behavior but regrettably did not delve into the intriguing influence of specific names on political leanings. Similarly, Doe and Jones (2015) examined the role of demographics in shaping voting decisions but did not extend their analysis to encompass the potential impact of individual names on electoral choices.
Turning to the wider literature on names and their impact, "Freakonomics" by Levitt and Dubner (2005) offers insightful discussions on the unconventional influences shaping human behaviors, albeit without specific emphasis on political decision-making. In a similar vein, "Nudge" by Thaler and Sunstein (2008) provides a compelling exploration of factors that guide decision-making processes but omits a dedicated examination of the influence of names on political affiliations.
Expanding beyond traditional research sources, a quick perusal of fictional works yields the intriguing novel "The Name of the Wind" by Patrick Rothfuss, which, although unrelated to political voting preferences, offers a captivating narrative on the enigmatic power of names. In a parallel realm, the dystopian classic "Brave New World" by Aldous Huxley envisions a society where individuals are assigned names based on societal hierarchies, prompting tangential contemplations on the potential political implications of designated nomenclature.
In a departure from traditional academic sources, a cursory glance at social media platforms reveals anecdotal accounts of individuals opining on the possible connection between names and political inclinations. A Twitter user with the handle @PoliticObserver muses, "Does a name shape a person's political views? Food for thought! #NameInfluence." Despite lacking empirical rigor, such online musings underscore the pervasive curiosity surrounding the influence of names on political orientations.
Subsequently, the current study endeavors to fill the aforementioned gap in the literature, scrutinizing the noteworthy connection between the prevalence of the first name Killian and voting patterns favoring the Libertarian presidential candidate in Iowa. Our investigation presents a lighthearted yet thought-provoking insight into the interplay of nomenclature and political proclivities, contributing to a burgeoning area of study that seamlessly melds quirkiness with statistical significance.

[[RESULTS]]
The primary objective of this study was to investigate the potential connection between the popularity of the first name Killian and the votes for the Libertarian presidential candidate in the state of Iowa. Our analysis revealed a remarkably strong correlation coefficient of 0.9373010, indicating a robust association between these two variables. This finding raises some eyebrows and sparks an animated conversation about the curious influence of nomenclature on political preferences.
The r-squared value of 0.8785333 suggests that approximately 87.85% of the variation in votes for the Libertarian candidate in Iowa can be explained by the popularity of the name Killian. This substantial proportion of variation further accentuates the intriguing nature of our results.
Moreover, with a p-value of less than 0.01, our research team has established a high level of statistical significance, indicating that the observed correlation is unlikely to have occurred purely by chance. This prompts us to ponder whether there may be an underlying libertarian streak that coincidentally manifests in individuals bearing the name Killian, or if this correlation is simply a delightful quirk of fate.
To visually illustrate this compelling association, we have included a scatterplot (Fig. 1) that portrays the striking correlation between the popularity of the first name Killian and the votes for the Libertarian presidential candidate in Iowa. The figure provides a succinct yet powerful depiction of the relationship between these variables and serves as a conversation piece for the thought-provoking findings of our study.

-------

Your response should start like this:

[[DISCUSSION]]



ChatGPT:

[[DISCUSSION]]

The robust correlation coefficient of 0.9373010 between the prevalence of the first name Killian and the votes for the Libertarian presidential candidate in Iowa underscores the striking association that our study has unveiled. This finding not only mirrors and reinforces prior research which has posited a potential link between nomenclature and political inclinations, but it also acquaints us with the whimsical and enigmatic realm of voter behavior.

As we harken back to the somewhat peculiar literature review, we find ourselves compelled to acknowledge the subtle yet significant connection to the world of fiction. Rothfuss's "The Name of the Wind" poetically illustrates the underlying power of names, and in a somewhat similar vein, our study has unearthed the subtle, clandestine force with which nomenclature may exert influence over political decisions. It appears that the suggestion of a name influencing a voter's political views, albeit initially whimsical, has been fortified by our resolute statistical findings.

Our results uphold and extend the theoretical framework of Levitt and Dubner's "Freakonomics," where unconventional influences on human behavior are thoughtfully explored. While they may not have specifically highlighted the potential impact of names on political affiliations, our empirical evidence lends support to the notion that such influences may indeed be more prevalent than previously presumed.

Moreover, the unexpected affinity between the first name Killian and a predilection for the Libertarian presidential candidate in Iowa opens the door to charmingly quirky observations about the seemingly unassuming and peaceful name. Our statistically significant findings invite contemplation on whether there exists an unspoken libertarian ethos interwoven into the very fabric of this particular moniker, or if this correlation is simply a whimsical twist of fate that has amused the statistical cosmos.

In closing, our study has propelled us into an enthralling fusion of statistical analysis and name-based speculation. It adds a touch of whimsy to the otherwise serious world of voter behavior, offering a delightful diversion into the mysterious interplay of nomenclature and political proclivities. As we conclude this discussion, one cannot help but reflect on the endearing and unpredictable ways in which our names may unknowingly mold our political leanings.


Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics journal.You draft the discussion section of goofy academic research papers that sounds like it belongs based on the title and abstract provided.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up a short conclusion of an academic research paper presenting the findings of the connection between Popularity of the first name Killian and Votes for the Libertarian Presidential candidate in Iowa. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Limit your response to 300 tokens. At the very end, assert that no more research is needed in this area.

Here are the title, abstract, introduction, and results sections.
[[TITLE]]
"From Killian to Candidate: A Name's Libertarian Leanings"

[[ABSTRACT]]
This study examines the intriguing connection between the popularity of the first name Killian and the votes cast for the Libertarian presidential candidate in the state of Iowa. Drawing on data from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse from the years 1982 to 2020, our research team calculated a correlation coefficient of 0.9373010, with a p-value of less than 0.01. This sparks a lively debate on whether a name can unwittingly influence one's political preferences, or if it's simply a curious coincidence. Our findings offer a compelling glimpse into the whimsical world of voter behavior and the peculiar power of nomenclature in political decision-making.

[[INTRDUCTION]]
The influence of one's name on their behavior and decision-making processes has long been a topic of interest in psychological and sociological research. From the classic "Bob and Rob" study to the examination of the impact of names on job prospects, the peculiar power of nomenclature has always been a source of fascination. In the realm of politics, little attention has been given to the potential influence of names on voting preferences. This study delves into the unexpected correlation between the popularity of the first name Killian and the votes for the Libertarian presidential candidate in the state of Iowa, offering a lighthearted yet intriguing glimpse into the whimsical world of voter behavior.
The purpose of this paper is to present the findings of our investigation into the connection between the name Killian and political leanings towards the Libertarian candidate. Our research team has painstakingly gathered and analyzed data from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse, spanning nearly four decades. The highly significant correlation coefficient of 0.9373010 that we have uncovered prompts us to ponder whether there may be more than meets the eye when it comes to the influence of names on political decision-making.
One cannot help but wonder if there is an underlying libertarian streak that coincidentally manifests in individuals bearing the name Killian, or if this correlation is just a quirky fluke of statistics. Our investigation aims to shed light on this phenomenon and spark engaging discussions about the potential impact of nomenclature on voter behavior. In doing so, we contribute to the ongoing dialogue surrounding the intersection of quirkiness and statistical significance in the field of political science research.
This paper is organized as follows: the next section provides a review of relevant literature, highlighting the lack of previous research on this unique topic. Subsequently, we detail our methodological approach, outlining the meticulous steps taken to ensure the rigor and validity of our findings. Finally, we present our results and discuss their implications, highlighting the unexpected yet thought-provoking nature of the relationship between one's name and their political inclinations.

[[RESULTS]]
The primary objective of this study was to investigate the potential connection between the popularity of the first name Killian and the votes for the Libertarian presidential candidate in the state of Iowa. Our analysis revealed a remarkably strong correlation coefficient of 0.9373010, indicating a robust association between these two variables. This finding raises some eyebrows and sparks an animated conversation about the curious influence of nomenclature on political preferences.
The r-squared value of 0.8785333 suggests that approximately 87.85% of the variation in votes for the Libertarian candidate in Iowa can be explained by the popularity of the name Killian. This substantial proportion of variation further accentuates the intriguing nature of our results.
Moreover, with a p-value of less than 0.01, our research team has established a high level of statistical significance, indicating that the observed correlation is unlikely to have occurred purely by chance. This prompts us to ponder whether there may be an underlying libertarian streak that coincidentally manifests in individuals bearing the name Killian, or if this correlation is simply a delightful quirk of fate.
To visually illustrate this compelling association, we have included a scatterplot (Fig. 1) that portrays the striking correlation between the popularity of the first name Killian and the votes for the Libertarian presidential candidate in Iowa. The figure provides a succinct yet powerful depiction of the relationship between these variables and serves as a conversation piece for the thought-provoking findings of our study.

-------

Your response should start like this:

[[CONCLUSION]]



ChatGPT:

[[CONCLUSION]]

In conclusion, our investigation into the connection between the popularity of the first name Killian and the votes for the Libertarian presidential candidate in Iowa has yielded thought-provoking and, dare we say, enchanting results. The remarkably strong correlation coefficient of 0.9373010, coupled with a p-value of less than 0.01, paints a vivid picture of the whimsical world of voter behavior and the intriguing influence of nomenclature on political preferences.

The substantial r-squared value of 0.8785333 highlights the compelling nature of this relationship, hinting at a quirky yet captivating connection between a name and a political inclination. One cannot help but marvel at the fruitful interplay of statistics and the unexpected sway of nomenclature in the realm of politics.

As we reflect on these findings, one is reminded of the sage words of William Shakespeare: "What's in a name? That which we call a rose by any other name would smell as sweet." However, in the realm of political decision-making, it seems that there may indeed be more to a name than meets the eye. Our study raises intriguing questions about the potential influence of names on voter behavior, adding a touch of mirth to the otherwise somber landscape of political science research.

It is tempting to entertain the notion of an undercover libertarian streak veiled within the moniker "Killian," or perhaps, this correlation is simply a delightful twist of fate. Either way, our findings contribute a whimsical spice to the ongoing dialogue surrounding the perplexing intersection of nomenclature and electoral leanings.

In light of these captivating results, we assert that further research in this enthralling domain is, unequivocally, unnecessary. It seems that, for now, the spirited connection between a name and a political persuasion shall remain a delightful enigma, teasing our curiosity and infusing the field of political science with a dash of delightful whimsy.


Model: gpt-3.5-turbo-1106
System prompt: You provide fictional names of academic journals. You say nothing else, and you do not chat with the user.
User prompt: Please provide the name of a funny but plausible sounding research, scientific, or academic journal that would publish a paper entited From Killian to Candidate: A Name's Libertarian Leanings. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Sociolinguistic Naming Studies


Model: gpt-3.5-turbo-1106
System prompt: You provide fictional names of nonprofit research organizations and associations. You say nothing else, and you do not chat with the user.
User prompt: Please provide the name of a funny but plausible sounding nonprofit, academic, or scientific association or organization that would sponsor research that resulted in a paper entited From Killian to Candidate: A Name's Libertarian Leanings. Respond only with the name of a fictional organization.

ChatGPT:

The Institute for Analytical Nominalism


Model: gpt-3.5-turbo-1106
System prompt: You provide potential search keywords separated by commas. You say nothing else, and you do not chat with the user.
User prompt: Please provide potential search keywords for a paper titled From Killian to Candidate: A Name's Libertarian Leanings with an abstract of This study examines the intriguing connection between the popularity of the first name Killian and the votes cast for the Libertarian presidential candidate in the state of Iowa. Drawing on data from the US Social Security Administration and the MIT Election Data and Science Lab, Harvard Dataverse from the years 1982 to 2020, our research team calculated a correlation coefficient of 0.9373010, with a p-value of less than 0.01. This sparks a lively debate on whether a name can unwittingly influence one's political preferences, or if it's simply a curious coincidence. Our findings offer a compelling glimpse into the whimsical world of voter behavior and the peculiar power of nomenclature in political decision-making.

ChatGPT:

Killian, candidate, Libertarian, presidential, election, correlation, name influence, political preferences, voter behavior, nomenclature, Iowa, US Social Security Administration, MIT Election Data, Harvard Dataverse

*There is a bunch of Python happening behind the scenes to turn this prompt sequence into a PDF.



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Data details

Popularity of the first name Killian
Detailed data title: Babies of all sexes born in the US named Killian
Source: US Social Security Administration
See what else correlates with Popularity of the first name Killian

Votes for the Libertarian Presidential candidate in Iowa
Detailed data title: Percentage of all votes cast for the Libertarian Presidential candidate in Iowa
Source: MIT Election Data and Science Lab, Harvard Dataverse
See what else correlates with Votes for the Libertarian Presidential candidate in Iowa

Correlation r = 0.9373010 (Pearson correlation coefficient)
Correlation is a measure of how much the variables move together. If it is 0.99, when one goes up the other goes up. If it is 0.02, the connection is very weak or non-existent. If it is -0.99, then when one goes up the other goes down. If it is 1.00, you probably messed up your correlation function.

r2 = 0.8785333 (Coefficient of determination)
This means 87.9% of the change in the one variable (i.e., Votes for the Libertarian Presidential candidate in Iowa) is predictable based on the change in the other (i.e., Popularity of the first name Killian) over the 10 years from 1982 through 2020.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 6.3E-5. 0.0000626560013727899700000000
The p-value is a measure of how probable it is that we would randomly find a result this extreme. More specifically the p-value is a measure of how probable it is that we would randomly find a result this extreme if we had only tested one pair of variables one time.

But I am a p-villain. I absolutely did not test only one pair of variables one time. I correlated hundreds of millions of pairs of variables. I threw boatloads of data into an industrial-sized blender to find this correlation.

Who is going to stop me? p-value reporting doesn't require me to report how many calculations I had to go through in order to find a low p-value!
On average, you will find a correaltion as strong as 0.94 in 0.0063% of random cases. Said differently, if you correlated 15,960 random variables Which I absolutely did.
with the same 9 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 9 because we have two variables measured over a period of 10 years. It's just the number of years minus ( the number of variables minus one ), which in this case simplifies to the number of years minus one.
you would randomly expect to find a correlation as strong as this one.

[ 0.75, 0.99 ] 95% correlation confidence interval (using the Fisher z-transformation)
The confidence interval is an estimate the range of the value of the correlation coefficient, using the correlation itself as an input. The values are meant to be the low and high end of the correlation coefficient with 95% confidence.

This one is a bit more complciated than the other calculations, but I include it because many people have been pushing for confidence intervals instead of p-value calculations (for example: NEJM. However, if you are dredging data, you can reliably find yourself in the 5%. That's my goal!


All values for the years included above: If I were being very sneaky, I could trim years from the beginning or end of the datasets to increase the correlation on some pairs of variables. I don't do that because there are already plenty of correlations in my database without monkeying with the years.

Still, sometimes one of the variables has more years of data available than the other. This page only shows the overlapping years. To see all the years, click on "See what else correlates with..." link above.
1984198819921996200020042008201220162020
Popularity of the first name Killian (Babies born)730931611581662902801400911
Votes for the Libertarian Presidential candidate in Iowa (Percentage of votes)0.1397180.203490.07943260.187590.2371730.1985520.298610.8169743.780451.15503




Why this works

  1. Data dredging: I have 25,237 variables in my database. I compare all these variables against each other to find ones that randomly match up. That's 636,906,169 correlation calculations! This is called “data dredging.” Instead of starting with a hypothesis and testing it, I instead abused the data to see what correlations shake out. It’s a dangerous way to go about analysis, because any sufficiently large dataset will yield strong correlations completely at random.
  2. Lack of causal connection: There is probably Because these pages are automatically generated, it's possible that the two variables you are viewing are in fact causually related. I take steps to prevent the obvious ones from showing on the site (I don't let data about the weather in one city correlate with the weather in a neighboring city, for example), but sometimes they still pop up. If they are related, cool! You found a loophole.
    no direct connection between these variables, despite what the AI says above. This is exacerbated by the fact that I used "Years" as the base variable. Lots of things happen in a year that are not related to each other! Most studies would use something like "one person" in stead of "one year" to be the "thing" studied.
  3. Observations not independent: For many variables, sequential years are not independent of each other. If a population of people is continuously doing something every day, there is no reason to think they would suddenly change how they are doing that thing on January 1. A simple Personally I don't find any p-value calculation to be 'simple,' but you know what I mean.
    p-value calculation does not take this into account, so mathematically it appears less probable than it really is.




Try it yourself

You can calculate the values on this page on your own! Try running the Python code to see the calculation results. Step 1: Download and install Python on your computer.

Step 2: Open a plaintext editor like Notepad and paste the code below into it.

Step 3: Save the file as "calculate_correlation.py" in a place you will remember, like your desktop. Copy the file location to your clipboard. On Windows, you can right-click the file and click "Properties," and then copy what comes after "Location:" As an example, on my computer the location is "C:\Users\tyler\Desktop"

Step 4: Open a command line window. For example, by pressing start and typing "cmd" and them pressing enter.

Step 5: Install the required modules by typing "pip install numpy", then pressing enter, then typing "pip install scipy", then pressing enter.

Step 6: Navigate to the location where you saved the Python file by using the "cd" command. For example, I would type "cd C:\Users\tyler\Desktop" and push enter.

Step 7: Run the Python script by typing "python calculate_correlation.py"

If you run into any issues, I suggest asking ChatGPT to walk you through installing Python and running the code below on your system. Try this question:

"Walk me through installing Python on my computer to run a script that uses scipy and numpy. Go step-by-step and ask me to confirm before moving on. Start by asking me questions about my operating system so that you know how to proceed. Assume I want the simplest installation with the latest version of Python and that I do not currently have any of the necessary elements installed. Remember to only give me one step per response and confirm I have done it before proceeding."


# These modules make it easier to perform the calculation
import numpy as np
from scipy import stats

# We'll define a function that we can call to return the correlation calculations
def calculate_correlation(array1, array2):

    # Calculate Pearson correlation coefficient and p-value
    correlation, p_value = stats.pearsonr(array1, array2)

    # Calculate R-squared as the square of the correlation coefficient
    r_squared = correlation**2

    return correlation, r_squared, p_value

# These are the arrays for the variables shown on this page, but you can modify them to be any two sets of numbers
array_1 = np.array([7,30,93,161,158,166,290,280,1400,911,])
array_2 = np.array([0.139718,0.20349,0.0794326,0.18759,0.237173,0.198552,0.29861,0.816974,3.78045,1.15503,])
array_1_name = "Popularity of the first name Killian"
array_2_name = "Votes for the Libertarian Presidential candidate in Iowa"

# Perform the calculation
print(f"Calculating the correlation between {array_1_name} and {array_2_name}...")
correlation, r_squared, p_value = calculate_correlation(array_1, array_2)

# Print the results
print("Correlation Coefficient:", correlation)
print("R-squared:", r_squared)
print("P-value:", p_value)



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Correlation ID: 5361 · Black Variable ID: 3936 · Red Variable ID: 26095
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